Machine Learning Engineering Manager II
Spotify
Machine Learning Engineering Manager II
Job Description
The Personalization team at Spotify makes deciding what to play next effortless and enjoyable for every listener. We aim to deeply understand music, podcasts, audiobooks, and videos to deliver exceptional recommendations that keep hundreds of millions of people engaged every day. Our work spans across experiences like Home, Search, curated playlists such as Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists.
As an ML Engineering Manager, you will provide technical leadership to a squad of engineers focusing on exciting new AI-driven experiences. In collaboration with a cross-functional and cross-team leadership group, you will help shape the future of Spotfiy’s agentic reasoning and orchestration tech stack. Join us and you’ll help millions of users discover and connect with the world’s audio content every day.
Locations
- New York, New York, United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
450,000 - 650,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- MLintermediate
- backendintermediate
- data engineersintermediate
- technical strategiesintermediate
- architectural visionintermediate
- ML modelingintermediate
- codingintermediate
- rapid prototypingintermediate
- iterative developmentintermediate
- AI-assisted codingintermediate
- Generative AIintermediate
- agent technologiesintermediate
- people managementintermediate
- engineering cultureintermediate
- agile environmentintermediate
Required Qualifications
- experience leading delivery of consumer-facing ML products at scale (experience)
- energized by rapid change, ambiguity, and opportunity, with a proven track record transforming innovative ideas into impactful products (experience)
- excited but not overhyped by the potential of Generative AI and agent technologies (experience)
- comfortable providing detailed technical direction and resolving complex engineering challenges (experience)
- thrive when developing great people and phenomenal, meaningful products (experience)
- experience in cultivating a strong engineering culture in an agile environment (experience)
- experience in people management, with the humility to realize where you’re still growing (experience)
Responsibilities
- Lead a talented team of ML, backend, and data engineers to build and launch innovative AI-driven personalized experiences
- Debate and align technical strategies with senior engineering leaders and partner teams, translate these strategies clearly back to your squad, and actively guide architectural vision and day-to-day ML modeling and coding decisions
- Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams
- Champion AI-assisted coding practices, continually expanding the team's technical capabilities
- Foster strong research partnerships to scale innovative solutions from experimentation to production
- Develop and grow your team's talent through hiring, coaching, mentoring, and fostering a collaborative, adaptive culture
Benefits
- general: flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location
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Machine Learning Engineering Manager II
Spotify
Machine Learning Engineering Manager II
Job Description
The Personalization team at Spotify makes deciding what to play next effortless and enjoyable for every listener. We aim to deeply understand music, podcasts, audiobooks, and videos to deliver exceptional recommendations that keep hundreds of millions of people engaged every day. Our work spans across experiences like Home, Search, curated playlists such as Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists.
As an ML Engineering Manager, you will provide technical leadership to a squad of engineers focusing on exciting new AI-driven experiences. In collaboration with a cross-functional and cross-team leadership group, you will help shape the future of Spotfiy’s agentic reasoning and orchestration tech stack. Join us and you’ll help millions of users discover and connect with the world’s audio content every day.
Locations
- New York, New York, United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
450,000 - 650,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- MLintermediate
- backendintermediate
- data engineersintermediate
- technical strategiesintermediate
- architectural visionintermediate
- ML modelingintermediate
- codingintermediate
- rapid prototypingintermediate
- iterative developmentintermediate
- AI-assisted codingintermediate
- Generative AIintermediate
- agent technologiesintermediate
- people managementintermediate
- engineering cultureintermediate
- agile environmentintermediate
Required Qualifications
- experience leading delivery of consumer-facing ML products at scale (experience)
- energized by rapid change, ambiguity, and opportunity, with a proven track record transforming innovative ideas into impactful products (experience)
- excited but not overhyped by the potential of Generative AI and agent technologies (experience)
- comfortable providing detailed technical direction and resolving complex engineering challenges (experience)
- thrive when developing great people and phenomenal, meaningful products (experience)
- experience in cultivating a strong engineering culture in an agile environment (experience)
- experience in people management, with the humility to realize where you’re still growing (experience)
Responsibilities
- Lead a talented team of ML, backend, and data engineers to build and launch innovative AI-driven personalized experiences
- Debate and align technical strategies with senior engineering leaders and partner teams, translate these strategies clearly back to your squad, and actively guide architectural vision and day-to-day ML modeling and coding decisions
- Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams
- Champion AI-assisted coding practices, continually expanding the team's technical capabilities
- Foster strong research partnerships to scale innovative solutions from experimentation to production
- Develop and grow your team's talent through hiring, coaching, mentoring, and fostering a collaborative, adaptive culture
Benefits
- general: flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location
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